摘要
通过混合像元分析法提取阿坝州贾洛乡1994年和2000年两期多光谱影像遥感信息,对该地区土地荒漠化及植被反增长程度进行分析,划分出土地荒漠化区、植被反增长区以及稳定区三个区域,结合GPS,针对各区域荒漠化的不同程度设计自动化重建方案。结果指出该地区总体上草地荒漠化趋势强于植被反增长,重度和中度土地荒漠化面积达到总面积的87.5%,中度和轻度植被反增长面积达到总面积的98.7%;土地荒漠化区位于西北部,植被增长区零散分布于东北部和西部。
through analysis of mixed pixels,extract the aba jallow township in 1994 and 2000,two multispectral imaging remote sensing information,the degree of land desertification and vegetation the growth in the region were analyzed,and divided the land desertification area,vegetation growth zone and region 3 area,combining with GPS,according to the regional desertification degree of different design automation reconstruction scheme.The results showed that the trend of grassland desertification was stronger than the negative growth of vegetation in the region as a whole.The desertification area is located in the northwest,and the vegetation growth area is scattered in the east,north and west.
出处
《科技创新与应用》
2019年第1期55-57,59,共4页
Technology Innovation and Application
关键词
混合像元分析法
全球定位系统
荒漠化
自动化重建
hybrid pixel analysis
Global positioning system
Desertification
Automated reconstruction